图 书 馆
改进的功能预测蛋白质的学习内核组合细粒度的设置Improved Functional Prediction of Proteins by Learning Kernel Combinations in Multilabel Setting |
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| 课程网址: | http://videolectures.net/pmsb06_roth_ifppl/ |
| 主讲教师: | Volker Roth |
| 开课单位: | 苏黎世联邦理工学院 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Kernel methods have been successfully applied to a variety of biological data analysis problems. One problem of using kernels, however, is the lacking interpretability of the decision functions. It has been proposed to address this problem by using multiple kernels together with some combination rules, where each of the kernels measures different aspects of the data. Methods for learning sparse kernel combinations have the potential to extract relevant measurements for a given task. |
| 关 键 词: | 核方法; 生物数据分析; 蛋白质 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：wuyq |
| 阅读次数: | 31 |